FINANCE

Weekly Proration Anomaly Audit to Notion

Each week it aggregates all flagged proration discrepancies from Snowflake, scores them against anomaly thresholds, and publishes a finance-ready audit page in Notion with totals.

CategoryFinance
Enginesim
Difficultyintermediate
Triggerschedule
Steps5
Setup~15 min

How it runs

The automated pipeline, trigger to output.

  • TriggerWeekly schedule
  • ActionQuery Snowflake for flagged discrepancies and open memosSnowflakeSnowflake
  • LogicAggregate by direction/size and check thresholds
  • ActionPublish audit page to NotionNotionNotion
  • OutputPost threshold-breach heads-up to SlackSlack

What it does

This rolls up the week's reconciliation findings into a single reviewable audit. It reads every flagged proration discrepancy from your Snowflake reconciliation table, classifies them by size and direction (owed-to-customer vs revenue-leakage), checks counts against your anomaly thresholds, and builds a Notion page finance can read in two minutes: net dollar exposure, top accounts, and any credit memos still unresolved.

When to use it

Use it for a recurring finance close ritual or board-prep where someone needs the proration health of the book at a glance, not a raw query export. The threshold check also surfaces weeks where mischarge volume spikes, which usually signals a pricing-config or webhook regression worth investigating.

How it works

  1. 1A weekly schedule triggers the audit.
  2. 2The workflow queries Snowflake for the week's flagged discrepancies and unresolved memos.
  3. 3It aggregates totals by direction and size and evaluates them against anomaly thresholds.
  4. 4It composes the audit page with net exposure, top accounts, and open items.
  5. 5The page is published to the finance workspace in Notion.
  6. 6If thresholds are breached, a heads-up with the page link is posted to Slack.

Set it up

What you configure once, before turning it on.

  1. 1
    Connect SnowflakeWarehouses, queries, shares.
  2. 2
    Connect NotionPages, databases, comments.
  3. 3
    Connect SlackChannels, DMs, threads, mentions.
  4. 4
    Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
  5. 5
    Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
  6. 6
    Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.

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